Joint Source-Channel Coding on a Multiple Access Channel with Side Information
R. Rajesh, Vinod Sharma, V. K. Varshenya

TL;DR
This paper investigates joint source-channel coding strategies for transmitting correlated sources over a multiple access channel with side information, providing new theoretical conditions and practical coding schemes, especially for Gaussian and discrete sources.
Contribution
It offers new sufficient conditions for source transmission with distortion, and introduces effective joint coding schemes for both discrete and continuous sources over MACs.
Findings
Derived conditions for source transmission with distortion
Developed joint source-channel coding schemes for Gaussian and discrete sources
Unified previous results as special cases
Abstract
We consider the problem of transmission of several distributed correlated sources over a multiple access channel (MAC) with side information at the sources and the decoder. Source-channel separation does not hold for this channel. Sufficient conditions are provided for transmission of sources with a given distortion. The source and/or the channel could have continuous alphabets (thus Gaussian sources and Gaussian MACs are special cases). Various previous results are obtained as special cases. We also provide several good joint source-channel coding schemes for discrete sources and discrete/continuous alphabet channel.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
